Wireless Sensor Network-Based Communication for Cooperative Simultaneous Localization and Mapping
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Date
2015
Journal Title
Journal ISSN
Volume Title
Publisher
Pergamon-Elsevier Science Ltd
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
This paper presents a novel approach of using a Wireless Sensor Network (WSN) as the communication means for Multi-Robot, Cooperative, Simultaneous Localization and Mapping (CSLAM) applications investigating the associated design challenges and suggesting corresponding solutions. Although the proposed approach brings several benefits including an increased coverage and communication range, self-organization capabilities, quick deployment, and flexible architecture, the realization is interrelated with performance in terms of energy efficiency and reliability. In this respect, the applicability of the WSNs for the presented approach is investigated. Centralized and distributed map merging methods in WSN-based CSLAM are evaluated in detail and the impacts of packet delays and losses on the performance of CSLAM algorithms are shown. Additionally, the involved network congestion and contention dynamics are presented, while the effects of observation range, speed, time intervals between observations, and odometry readings on the SLAM accuracy are shown based on an extensive set of simulation studies. (C) 2014 Elsevier Ltd. All rights reserved.
Description
Potirakis, Stelios/0000-0001-5928-4587
ORCID
Keywords
Aware
Fields of Science
0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
11
Source
Computers & Electrical Engineering
Volume
41
Issue
Start Page
407
End Page
425
PlumX Metrics
Citations
CrossRef : 11
Scopus : 12
Captures
Mendeley Readers : 33
SCOPUS™ Citations
13
checked on Mar 04, 2026
Web of Science™ Citations
11
checked on Mar 04, 2026
Page Views
1
checked on Mar 04, 2026
Downloads
4
checked on Mar 04, 2026
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